Software Engineer – Intelligent Platforms, Mid

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and maintain backend services and microservices that support intelligent, agent-based platforms.

• Build and integrate autonomous or semi-autonomous agents that interact with both technical and business systems.

• Create AI-enabled workflows that utilize large language models (LLMs) for decision support, automation, analysis, and system interaction.

• Implement APIs and orchestration logic that allow agents and services to work collaboratively.

• Establish and maintain Infrastructure as Code (IaC) practices to provision and manage cloud environments.

• Work closely with systems engineers and Information System Security Engineers (ISSEs) to convert requirements and security controls into code.

• Contribute to Git-based workflows, including pull/merge requests, code reviews, and documentation efforts.

• Support Continuous Integration/Continuous Deployment (CI/CD) pipelines and secure deployments that comply with Authorization to Operate (ATO) requirements.

• Produce technical documentation that outlines code, agent behavior, and system interactions.

• Advocate for an “everything as code” philosophy by utilizing version-controlled, testable code.

⛳️ Requirements

• Bachelor’s degree and a minimum of 4 years of professional software development experience.

• Proficiency in at least one modern programming language (Python is preferred; Java or Go are also acceptable).

• Experience in building backend services, APIs, or microservices.

• Familiarity with AI/ML systems, LLMs, or intelligent automation through professional experience or applied projects.

• Knowledge of Infrastructure as Code concepts and related tools.

• Experience with collaborative development practices in GitLab and/or GitHub.

• Ability to function effectively in environments with changing or unclear requirements.

• Must possess and maintain a Secret security clearance.

• Active Security+ certification or an equivalent IAT Level II certification is required.

• Experience in building or orchestrating agents, workflows, or autonomous systems.

• Familiarity with LLM integration patterns (prompting, tools/functions, retrieval, etc.).

• Experience with containerization and orchestration technologies such as Docker and Kubernetes.

• Familiarity with cloud platforms, particularly AWS GovCloud.

• Experience in developing AI-enabled systems within regulated or secure environments.

• Proven ability to apply “as code” methodologies to areas beyond infrastructure (e.g., configuration-as-code, policy-as-code, workflows-as-code, documentation-as-code).

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Retirement plans with company matching contributions.

• Opportunities for professional development and continuous learning.

• Flexible work hours and remote work options.

• Generous paid time off and holiday leave.